非实验横断面中介研究的另一种框架:关联变量分析。

IF 7.6 1区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Carl F Weems
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引用次数: 0

摘要

尽管有强有力的证据表明其逻辑和经验问题,但使用非实验横截面数据(NECSD)的中介研究仍有真正的爆发。往好了说,这样的研究对真正的调解几乎没有什么帮助,往坏了说,可能会对数据得出的结论产生不准确的描述。本文概述了不将NECSD研究作为中介的原因,并阐明了尽管有充分的理由停止,但它仍可能继续的原因。引入关联变量分析作为一种替代框架,以帮助阐明更准确地描述研究结果。从经验数据集提供了步骤的衔接,执行步骤的示例和框架研究结果。关联变量分析是另一种概念框架,它借鉴了为中介而开发的分析技术,但为阐明具有中介类型目标的NECSD研究结果提供了更准确的框架。(PsycInfo Database Record (c) 2025 APA,版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An alternative framework for nonexperimental cross-sectional mediation studies: Associational variable analysis.

Despite strong evidence of its logical and empirical problems, there remains a veritable eruption of mediational studies using nonexperimental cross-sectional data (NECSD). At best, such studies can say little about true mediation and at worse can create an inaccurate picture of the conclusions from the data. This article overviews the reasons to not frame NECSD studies as mediational and articulates reasons why it may continue despite solid reasons to stop. Associational variable analysis is introduced as an alternative framework to help articulate a more accurate depiction of findings. Articulation of the steps, examples of conducting the steps, and framing findings are provided from an empirical data set. Associational variable analysis is an alternative conceptual framework drawing on the analytic techniques developed for mediation but provides a more accurate framework for the articulation of findings from NECSD studies with mediational-type goals. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

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来源期刊
Psychological methods
Psychological methods PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
13.10
自引率
7.10%
发文量
159
期刊介绍: Psychological Methods is devoted to the development and dissemination of methods for collecting, analyzing, understanding, and interpreting psychological data. Its purpose is the dissemination of innovations in research design, measurement, methodology, and quantitative and qualitative analysis to the psychological community; its further purpose is to promote effective communication about related substantive and methodological issues. The audience is expected to be diverse and to include those who develop new procedures, those who are responsible for undergraduate and graduate training in design, measurement, and statistics, as well as those who employ those procedures in research.
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